CN114880258A - Intelligent driving interaction arbitration method, system, vehicle and storage medium - Google Patents
Intelligent driving interaction arbitration method, system, vehicle and storage medium Download PDFInfo
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- CN114880258A CN114880258A CN202210581830.2A CN202210581830A CN114880258A CN 114880258 A CN114880258 A CN 114880258A CN 202210581830 A CN202210581830 A CN 202210581830A CN 114880258 A CN114880258 A CN 114880258A
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- 230000003993 interaction Effects 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000002452 interceptive effect Effects 0.000 claims abstract description 22
- 230000008859 change Effects 0.000 claims description 28
- 230000006870 function Effects 0.000 claims description 17
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003340 mental effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 238000006467 substitution reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F13/14—Handling requests for interconnection or transfer
- G06F13/16—Handling requests for interconnection or transfer for access to memory bus
- G06F13/1605—Handling requests for interconnection or transfer for access to memory bus based on arbitration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F13/10—Program control for peripheral devices
- G06F13/12—Program control for peripheral devices using hardware independent of the central processor, e.g. channel or peripheral processor
- G06F13/122—Program control for peripheral devices using hardware independent of the central processor, e.g. channel or peripheral processor where hardware performs an I/O function other than control of data transfer
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
Abstract
The invention discloses an intelligent driving interaction arbitration method, a system, a vehicle and a storage medium, comprising the following steps: classifying intelligent driving interaction information into three types of frequently-displayed state information, user operation feedback information and function triggering information; configuring a channel for interaction respectively for frequently-displayed state information, user operation feedback information and function triggering information; the frequently-displayed state information is set to be displayed through the channel output of the frequently-displayed state information; the user operation feedback information and the function trigger information are configured to: the priority levels are respectively arranged in the corresponding channels, and if the interaction request with the highest priority level can be selected in the channels at the same time, the interaction request with the highest priority level is output to corresponding interaction hardware; if two or more interactive requests with the same priority exist in the channel at the same time, the interactive requests are alternately output to corresponding interactive hardware according to a preset period. The invention guarantees that the most important information can be transmitted to the user and simultaneously guarantees that excessive information is not transmitted.
Description
Technical Field
The invention belongs to the technical field of vehicle interaction, and particularly relates to an intelligent driving interaction arbitration method, an intelligent driving interaction arbitration system, a vehicle and a storage medium.
Background
With the continuous development of the intelligent internet automobile technology, functions related to intelligent driving are more and more abundant, and interaction of the functions on prompting, reminding, warning and the like of a user is correspondingly increased. However, from the human factor research, the judgment and processing of the logic class prompt by the user are serial rather than parallel, and it is not suitable to transmit the interaction of multiple functions to the user. Even if the interactive mode of multiple channels is adopted, such as using animation, sound, characters, vibration and the like to express different information, multiple interactive information can be transmitted simultaneously technically, and the expected interactive purpose is difficult to achieve effectively. For example, patent document CN109656851A discloses a time-deterministic system including multiple high-speed bus channels and shared interfaces, in which an interactive arbitration method is disclosed, aiming at improving the utilization rate of the high-speed bus channels and reducing the complexity of system application. Also, for example, patent document CN109499059A discloses an object rendering method and apparatus, a storage medium, and an electronic apparatus, which solve the problem of high occupancy rate of terminal performance resources by arbitration. The above related patents are all for the purpose of increasing channel multiplexing rate, but cannot be aimed at the purpose of selecting the most important and most suitable interactive content to be delivered to the user in the field of intelligent driving.
Therefore, there is a need to develop an intelligent driving interaction arbitration method, system, vehicle and storage medium.
Disclosure of Invention
The invention aims to provide an intelligent driving interaction arbitration method, an intelligent driving interaction arbitration system, a vehicle and a storage medium, which can ensure that the most important information can be transmitted to a user and simultaneously ensure that the difficulty of user identification and decision making caused by excessive information transmission is avoided.
In a first aspect, the intelligent driving interaction arbitration method provided by the invention comprises the following steps:
classifying intelligent driving interaction information into three types of frequently-displayed state information, user operation feedback information and function triggering information; the user operation feedback information comprises a guidance class, a reason class and a failure-only or success feedback class, and the priority is set to the guidance class, the reason class and the failure-only or success feedback class from high to low in sequence; the function trigger information comprises a security class and an usability class, wherein the priority of the security class is higher than that of the usability class;
configuring a channel for interaction for each of the frequently displayed state information, the user operation feedback information and the function trigger information;
the normally displayed state information is set to be displayed through the channel output of the normally displayed state information;
the user operation feedback information and function trigger information are configured to:
the priority levels are respectively arranged in the corresponding channels, and if the interaction request with the highest priority level can be selected in the channels at the same time, the interaction request with the highest priority level is output to corresponding interaction hardware; and if two or more interactive requests with the same priority exist in the channel at the same time, alternately outputting the interactive requests to corresponding interactive hardware according to a preset period.
Optionally, the security class includes a danger class and a safety risk class, wherein the danger class is higher in priority than the safety risk class.
Optionally, the hazard classes include a system capability limit reached warning class and a driver safety requirement violation warning class, wherein reaching the system capability limit warning class is prioritized over driver safety requirement violation warning.
Optionally, the alarm class reaching the system capacity limit includes a definite take-over alarm, a safety system trigger alarm, an undefined take-over alarm and a collision safety early alarm, and the definite take-over alarm, the safety system trigger alarm, the undefined take-over alarm and the collision safety early alarm are sequentially performed from high priority to low priority.
Optionally, the security risk classes include a system change prompt class requiring user preparation and a mental preparation prompt class establishing a user possible change to the environmental complexity, wherein the priority of the system change prompt class requiring user preparation is greater than the psychological preparation prompt class establishing a user possible change to the environmental complexity.
Optionally, the system change prompt class prepared by the user includes a request class for the driver, a reason class for the system change, and an upcoming change class for the system, where the priority is in order from high to low.
Optionally, the usability class includes interpretation information, system recommendation information and other information which are difficult to understand by the user, and the interpretation information, the system recommendation information and the other information which are difficult to understand by the user are sequentially ranked from high to low.
In a second aspect, the intelligent driving interaction arbitration system according to the present invention includes a memory and a controller, where the memory stores a computer readable program, and the computer readable program, when called by the controller, can execute the steps of the intelligent driving interaction arbitration method according to the present invention.
In a third aspect, the invention provides a vehicle, which adopts the intelligent driving interactive arbitration system.
In a fourth aspect, the present invention provides a storage medium having a computer readable program stored therein, where the computer readable program is capable of executing the steps of the intelligent driving interactive arbitration method according to the present invention when the computer readable program is called.
The invention has the following advantages: aiming at the principle of safety and usability which are emphasized by intelligent driving, the arbitration method for the function interaction of the intelligent driving is designed, so that the most important information can be transmitted to a user, and the difficulty of user identification and decision making caused by excessive information transmission is avoided.
Drawings
Fig. 1 is a flowchart of the present embodiment.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
The safety of intelligent driving needs to be guaranteed by the system and the driver together, and the mutual capacity participation degree of the system and the driver is different under the intelligent driving capacities of different levels. In the field of intelligent driving, main links are perception, decision and control; when the capacities of the several links of the system are high, the requirements on the attention degree, the thinking decision capability and the operation control capability of people are low correspondingly. When the capacity of the system and the driver together is not enough or is about to be insufficient to ensure safe driving, the system needs to inform the driver to increase the attention, decision-making capacity and execution capacity on the safe driving in an interactive mode. The different abilities of the system are insufficient, the requirements for drivers are different, and different interaction requirements are presented.
As shown in fig. 1, in this embodiment, an intelligent driving interaction arbitration method includes the following steps:
classifying intelligent driving interaction information into three types of normally displayed state information, user operation feedback information and function triggering information; the user operation feedback information comprises a guidance class, a reason class and a failure-only or success feedback class, and the priority is set to the guidance class, the reason class and the failure-only or success feedback class from high to low in sequence; the function trigger information comprises a security class and an usability class, wherein the priority of the security class is higher than that of the usability class;
configuring a channel for interaction for each of the frequently displayed state information, the user operation feedback information and the function trigger information;
the normally displayed state information is set to be displayed through the channel output of the normally displayed state information;
the user operation feedback information and function trigger information are configured to:
the priority levels are respectively arranged in the corresponding channels, and if the interaction request with the highest priority level can be selected in the channels at the same time, the interaction request with the highest priority level is output to corresponding interaction hardware; and if two or more interactive requests with the same priority exist in the channel at the same time, alternately outputting the interactive requests to corresponding interactive hardware according to a preset period.
As shown in fig. 1, in the present embodiment, the security class includes a danger class and a security risk class, wherein the danger class has a higher priority than the security risk class.
As shown in fig. 1, in the present embodiment, the danger classes include a system capability limit reached alarm class and a driver safety requirement violation alarm class, wherein the priority of reaching the system capability limit alarm class is higher than the priority of the driver safety requirement violation alarm.
As shown in fig. 1, in this embodiment, the alarm class reaching the system capability limit includes an explicit takeover alarm, a security system trigger alarm (e.g., an AEB security system trigger alarm), an ambiguous takeover alarm, and a collision security early warning, and the priorities are sequentially from high to low, the explicit takeover alarm, the security system trigger alarm, the ambiguous takeover alarm, and the collision security early warning.
As shown in fig. 1, in the present embodiment, the driver-violation safety-requirement warning includes a driver-operation warning that violates a safety requirement and a driver-state warning that violates a safety requirement, wherein the driver-operation warning that violates a safety requirement has a higher priority than the driver-state warning that violates a safety requirement.
As shown in fig. 1, in this embodiment, the security risk classes include a system change prompt class that needs to be prepared by the user and a mental preparation prompt class that establishes a change in the environmental complexity that the user may have, where the priority of the system change prompt class that needs to be prepared by the user is higher than the psychological preparation prompt class that establishes a change in the environmental complexity that the user may have.
As shown in fig. 1, in this embodiment, the system change prompt classes to be prepared by the user include a request class for the driver, a reason class for the system change (such as an upcoming ramp), and an upcoming change class for the system, where the priority is from high to low, the request class for the driver, the reason class for the system change, and the upcoming change class for the system.
As shown in fig. 1, in this embodiment, a psychological preparation prompt class that the user may have for the environmental complexity change is established, such as: please resume manual driving when going off the ramp ahead; the emergency brake may occur occasionally under complex road conditions; the front 600m passes through a sharp bend; starting automatic demisting; and (5) overspeed alarm.
As shown in fig. 1, in this embodiment, the usability category includes interpretation information that is difficult to understand by the user (for example, waiting for timeout, lane change is about to terminate; vehicle speed is too low, automatic lane change cannot be used), system recommendation information (for example, recommending that the user operates to use a suitable function; safety category information that is noticed by the user is recommended, such as road information), and other information, and the priority is in order from high to low for the interpretation information, system recommendation information, and other information that are difficult to understand by the user.
In this embodiment, an intelligent driving interaction arbitration system includes a memory and a controller, where the memory stores a computer readable program, and the computer readable program can execute the steps of the intelligent driving interaction arbitration method described in this embodiment when being called by the controller.
In this embodiment, a vehicle adopts the intelligent driving interactive arbitration system described in this embodiment.
In this embodiment, a storage medium stores a computer readable program, and the computer readable program can execute the steps of the intelligent driving interaction arbitration method as described in this embodiment when being called.
The above embodiments are preferred embodiments of the method of the present invention, but the method of the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (10)
1. An intelligent driving interaction arbitration method is characterized in that: the method comprises the following steps:
classifying intelligent driving interaction information into three types of frequently-displayed state information, user operation feedback information and function triggering information; the user operation feedback information comprises a guidance class, a reason class and a failure-only or success feedback class, and the priority is set to the guidance class, the reason class and the failure-only or success feedback class from high to low in sequence; the function trigger information comprises a security class and an usability class, wherein the priority of the security class is higher than that of the usability class;
configuring a channel for interaction respectively for the frequently displayed state information, the user operation feedback information and the function trigger information;
the normally displayed state information is set to be displayed through the channel output of the normally displayed state information;
the user operation feedback information and function trigger information are configured to:
the priority levels are respectively arranged in the corresponding channels, and if the interaction request with the highest priority level can be selected in the channels at the same time, the interaction request with the highest priority level is output to corresponding interaction hardware; and if two or more interactive requests with the same priority exist in the channel at the same time, alternately outputting the interactive requests to corresponding interactive hardware according to a preset period.
2. The intelligent driving interaction arbitration method according to claim 1, wherein: the security class includes a danger class and a safety risk class, wherein the danger class is prioritized over the safety risk class.
3. The intelligent driving interaction arbitration method according to claim 2, wherein: the danger classes include a reach system capability limit warning class and a driver violation safety requirement warning class, wherein reaching the system capability limit warning class is higher in priority than the driver violation safety requirement warning.
4. The intelligent driving interaction arbitration method according to claim 3, wherein: the alarm class reaching the system capacity limit comprises definite take-over alarm, safety system trigger alarm, undefined take-over alarm and collision safety early warning, and the definite take-over alarm, the safety system trigger alarm, the undefined take-over alarm and the collision safety early warning are sequentially performed from high priority to low priority.
5. The intelligent driving interaction arbitration method according to claim 4, wherein: the security risk class comprises a system change prompt class which needs to be prepared by the user and a psychological preparation prompt class which establishes the change of the environmental complexity possibly caused by the user, wherein the priority of the system change prompt class which needs to be prepared by the user is higher than that of the psychological preparation prompt class which establishes the change of the environmental complexity possibly caused by the user.
6. The intelligent driving interaction arbitration method according to claim 5, wherein: the system change prompt classes required to be prepared by the user comprise a requirement class for the driver, a reason class for system change and an upcoming change class of the system, wherein the requirement class for the driver, the reason class for system change and the upcoming change class of the system are sequentially arranged from high to low in priority.
7. The intelligent driving interaction arbitration method according to any one of claims 1 to 6, wherein: the usability class comprises interpretation information, system recommendation information and other information which are difficult to understand by the user, and the interpretation information, the system recommendation information and the other information which are difficult to understand by the user are sequentially arranged from high priority to low priority.
8. An intelligent driving interaction arbitration system is characterized in that: comprising a memory and a controller, said memory having stored therein a computer readable program capable of executing the steps of the intelligent driving interaction arbitration method according to any one of claims 1 to 7 when said computer readable program is invoked by the controller.
9. A vehicle, characterized in that: the intelligent driving interactive arbitration system according to claim 8 is employed.
10. A storage medium, characterized by: stored with a computer readable program which when invoked is able to perform the steps of the intelligent driving interaction arbitration method according to any one of claims 1 to 7.
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